Type: Package Package: fitlandr Title: Fit Vector Fields and Potential Landscapes from Intensive Longitudinal Data Version: 0.1.1 Authors@R: person("Jingmeng", "Cui", , "jingmeng.cui@outlook.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3421-8457")) Description: A toolbox for estimating vector fields from intensive longitudinal data, and construct potential landscapes thereafter. The vector fields can be estimated with two nonparametric methods: the Multivariate Vector Field Kernel Estimator (MVKE) by Bandi & Moloche (2018) and the Sparse Vector Field Consensus (SparseVFC) algorithm by Ma et al. (2013) . The potential landscapes can be constructed with a simulation-based approach with the 'simlandr' package (Cui et al., 2021) , or the Bhattacharya et al. (2011) method for path integration . License: GPL (>= 3) URL: https://sciurus365.github.io/fitlandr/, https://github.com/Sciurus365/fitlandr BugReports: https://github.com/Sciurus365/fitlandr/issues Imports: cli, dplyr, furrr, future.apply, ggplot2, glue, grDevices, grid, magrittr, MASS, numDeriv, plotly, purrr, R.utils, Rfast, rlang, rootSolve, simlandr (>= 0.3.0), SparseVFC, tidyr Suggests: akima, colorRamps, future, knitr Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev Repository: https://sciurus365.r-universe.dev Date/Publication: 2026-01-29 16:17:33 UTC RemoteUrl: https://github.com/Sciurus365/fitlandr RemoteRef: HEAD RemoteSha: ed7c898fe799c7faffb8c7a472cacde18c38bb94 NeedsCompilation: no Packaged: 2026-06-22 10:55:19 UTC; root Author: Jingmeng Cui [aut, cre] (ORCID: ) Maintainer: Jingmeng Cui